Principal Site Reliability Engineer

About Zscaler.

Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users.

As the operator of the worlds largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure.

The pioneering, AI-powered Zscaler Zero Trust Exchange?platform protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location..

Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry.

If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler..

Responsibilities.

We are looking for an experienced SRE AI/ML Engineer with a background in machine learning, AI-driven solutions, and cloud/SRE operations.

Reporting to the Senior Director, you'll be responsible for:.

You will design machine learning models to enhance system observability, proactive monitoring, and root cause analysis..

You will collaborate with multiple teams to integrate AI/ML capabilities into our tooling, monitoring platforms, processes to build a smarter, more infrastructure..

Job Location Bangalore / Hyderabad / Mohali.

What We're Looking For (Minimum Qualifications).

Must have 8+ years of experience in in SRE, AI/ML Engineering, Cloud-SRE/DevOps, with a focus on machine learning and Proactive and Intelligent Operations..

AI/ML Expertise: Proficiency in developing, training, and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn..

NLP and Generative AI: Experience with natural language processing (NLP) techniques and generative AI models (e.g., GPT, BERT) for content generation and chatbot development..

Programming: Programming skills in Python, Java, or Scala for AI/ML development and integration..

Observability Tools: Familiarity with observability tools like Prometheus, Grafana, and the ELK Stack, and experience enhancing them with AI/ML capabilities..

Data Processing: Knowledge of big data technologies (e.g., Apache Kafka, Apache Spark) and real-time data processing concepts..

Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying and managing AI/ML solutions..

What Will Make You Stand Out (Preferred Qualifications).

AI/ML Model Design and Implementation: Create machine learning models to predict system failures, performance issues, and anomalies, facilitating proactive and informed monitoring..

AI-Driven Observability: Enhance existing observability tools (e.g., Prometheus, Grafana, ELK Stack) with AI/ML capabilities to provide deeper insights, improve anomaly detection, and allow automated responses..

Root Cause Analysis Tools: Develop AI-driven tools for intelligent debugging and root cause analysis by analysing large volumes of logs, metrics, and traces to quickly identify issues..

Chatbots and Conversational AI: Develop conversational AI interfaces and chatbots to provide automated insights, support, and interactions for other teams and users..

Collaboration with Data Engineering: Partner with data engineering teams to gather, preprocess, and manage telemetry data for model training, validation, and real-time monitoring..

Model Deployment and Monitoring: Implement machine learning models in production environments, ensuring their performance, accuracy, and reliability through monitoring..

Automation and Innovation: Identify and use opportunities to automate incident detection and resolution using AI/ML technologies, reducing downtime and enhancing system performance..

At Zscaler, we believe that diversity drives innovation, productivity, and success.

We are looking for individuals from all backgrounds and identities to join our team and contribute to our mission to make doing business seamless and secure.

We are guided by these principles as we create a representative and impactful team, and a culture where everyone belongs.

For more information on our commitments to Diversity, Equity, Inclusion, and Belonging, visit the Corporate Responsibility page of our website..

Benefits.

Our Benefits program is one of the most important ways we support our employees.

Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:.

Multiple health plans.

Time off plans for vacation and sick time.

Parental leave options.

Retirement options.

Education reimbursement.

In-office perks, and more!.

By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines..

Zscaler is proud to be an equal opportunity and affirmative action employer.

We celebrate diversity and are committed to creating an inclusive environment for all of our employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status or any other characteristics protected by federal, state, or local laws..

See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link..

Pay Transparency.

Zscaler complies with all applicable federal, state, and local pay transparency rules.

For additional information about the federal requirements, click here ..

Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support..